Virtual Recruitment Effects on Matched Residents in Family Medicine: Experiences From Central Pennsylvania.

Karl T Clebak, Jessica Parascando, Zakary Newberry, Joseph Wiedemer, Alexis Reedy-Cooper, Huamei Dong, Robert P Lennon
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Abstract

Background and objectives: As a result of the COVID-19 pandemic, interviews during the 2021 US residency match were conducted virtually, a practice again recommended and repeated by many programs in 2022. The impact of virtual interviews on recruitment and match outcomes has recently been of interest, with results showing the virtual format to be mostly well received by applicants due to cost, travel, and scheduling benefits. Few studies have looked at pre/posttransition comparisons of applicant geographic and demographic data. We compared objective match outcomes between in-person and virtual interviews across three residency programs.

Methods: We conducted a retrospective cross-sectional analysis of National Residency Matching Program data between 2015-2022 across three family medicine residency programs. Primary outcomes were fill rate, average rank position, distance from program, and percentage of underrepresented in medicine demographic status for matched applicants. We compared aggregate in-person data (2015-2019) to aggregate virtual data (2020-2022) for each program using χ2, Fisher Exact test, or 2-tailed t tests to 95% confidence.

Results: Saint Joseph Hospital in Reading, Pennsylvania, a 3-year community-based university affiliated program, had significantly more unfilled positions during virtual recruitment (P=.0058). Mount Nittany Medical Center in State College, Pennsylvania, a 3-year community based university-affiliated program, had a significant difference in distance of matched residents' current address (P=.048). Virtual interviews were not associated with significant differences in average position on rank list, average distance from permanent address zip code, or percentage of underrepresented in medicine (URiM) demographic status for matched applicants.

Conclusions: The impact of virtual interviewing on unfilled positions and geographic data is likely site specific and generally small, as some programs had significant structural changes. Further research is needed to confirm the generalizability of these results and explore future comparisons of demographic and geographic characteristics of matched applicants pre/posttransition to the virtual format.

家庭医学对匹配住院医师的虚拟招募效应:来自宾夕法尼亚州中部的经验。
背景和目的:由于2019冠状病毒病大流行,2021年美国驻地比赛期间的采访是虚拟的,这一做法在2022年的许多节目中再次被推荐和重复。虚拟面试对招聘和匹配结果的影响最近引起了人们的兴趣,结果显示,由于成本、旅行和日程安排方面的优势,虚拟面试大多受到申请人的欢迎。很少有研究对申请人的地理和人口数据进行过渡前后的比较。我们比较了三个住院医师项目中面对面访谈和虚拟访谈的客观匹配结果。方法:我们对2015-2022年三个家庭医学住院医师项目的全国住院医师匹配计划数据进行了回顾性横断面分析。主要结果是填充率、平均排名、与项目的距离以及匹配申请人在医学人口统计学地位中未被充分代表的百分比。我们使用χ2、Fisher精确检验或双尾t检验将每个项目的总体现场数据(2015-2019年)与总体虚拟数据(2020-2022年)进行了比较,置信度为95%。结果:在宾夕法尼亚州雷丁的圣约瑟夫医院,一个为期3年的社区大学附属项目,在虚拟招聘期间有更多的空缺职位(P= 0.0058)。宾夕法尼亚州立大学的Mount Nittany医学中心是一个为期3年的以社区为基础的大学附属项目,在匹配居民的现住址距离上存在显著差异(P= 0.048)。虚拟面试与排名的平均位置、与永久地址邮政编码的平均距离或匹配申请人在医学中未被充分代表的百分比(URiM)人口统计状态的显着差异无关。结论:虚拟面试对空缺职位和地理数据的影响可能是特定地点的,通常很小,因为一些项目有显著的结构变化。需要进一步的研究来证实这些结果的普遍性,并探索在过渡到虚拟格式之前/之后匹配申请人的人口和地理特征的未来比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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